Airbnb

Support Engineer

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
• Learn and share the latest AI/ML technologies with the team across regions( China and the US).

Senior Machine Learning Engineer, Community Support Engineering

Technical Program Manager

• Develop program scope and objectives, collaborate with all relevant stakeholders, ensure technical feasibility and drive projects end-to-end
• Aligning on staffing, priorities and technical dependencies within Guest & Host Tech and cross-functional teams like Payments, Trust Eng, Design and Product.
• Manage Technical Design diligence process for large programs aligning design backlog w/ project plan, scheduling reviews and pre-reviews, engaging the right stakeholders across teams, and managing meeting quality and efficiency.
• Manage effective communications to leadership and across teams on key decisions, status, and risks to ensure accountability and timeline management.
• Understand best practices, drive for process improvements, and find new ways of operating, with a focus on simplification and productivity.
• Provide visibility into key performance indicators so leaders are aware of risks and opportunities.
• In this role, you will be expected to work independently with stakeholders and cross-functional leadership with little supervision from management.

Staff Technical Program Manager, Guest & Host Tech

Full-stack Engineer

• Provide technical leadership on high-impact projects
• Influence and coach a distributed team of engineers
• Drive reliability, cost efficiency and capability enhancements for GPU fleet
• Facilitate cross-team alignment on goals, outcomes, and timelines
• Manage project priorities, deadlines, and deliverables
• Contribute to and execute the multi-year strategy for Airbnb’s AI Compute Platform
• Design, develop, test, deploy, maintain, and enhance the Airbnb AI Compute Platform

Senior Software Engineer, AI Compute

Engineering Manager

• Drive entity onboarding with producer teams across the company — unblock teams stuck on data quality issues, resolve schema ambiguity, and close the gap between what the platform promises and what data owners actually experience.
• Lead technical design on the trip entity — data model, lifecycle event taxonomy, real-time streaming architecture, and privacy-safe handling of message and conversation data.
• Closely partner with compute and data infrastructure teams to drive the state-of-the-art for realtime data processing at Airbnb.
• Partner with proactive trip support, customer support triage, and host AI product teams to validate that the signal layer meets their actual use cases, not a spec written in isolation.
• Review designs spanning attribute serving, real-time event pipelines, and cross-system entity mapping.
• Work closely with the principal engineer and program manager on roadmap sequencing and escalation of infrastructure dependencies.
• Manage and develop a team of ~7 engineers — own their careers, not just their sprint output.
• Represent entity platform work in executive-level program reviews; this program is a direct priority for Airbnb's engineering leadership.

Engineering Manager – Core Entities, Trip Intelligence

AI Research Scientist

• Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale.
• Advance techniques in LLM/LRM post-training, reinforcement learning–based decisioning, and knowledge-integrated agents.
• Design methods for plan induction, value estimation, and contingency modeling within intelligent agents.
• Explore and validate protocols for distributed reasoning and joint planning among cooperative agents in multi-agent systems.
• Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory (e.g., KGs), and RL-driven controllers.
• Design recursive task planners, search-based or policy-based reasoners, and belief-state trackers that can interoperate with large model substrates.
• Ensure modularity and extensibility through multi-agent frameworks, agentic substrates, and declarative planning pipelines.
• Define communication protocols, coordination strategies, and cross-agent knowledge alignment mechanisms to foster emergent cooperative intelligence.

Principal AI/ML Researcher – Reasoning, Planning, Decision-making Systems

• Build and operate a highly performant, available, and scalable data access gateway that provides a simple and unified experience for accessing online product data.
• Empower and simplify the way engineers at Airbnb define and manage data by building and operating a generalized data schematization solution.

Senior Staff Software Engineer, Storage

Product Manager

• Lead the product vision, strategy, and roadmap for the discovery needs of all key business verticals (e.g. Homes, Services, Experiences, International) and new bets (e.g. Hotels, Luxe, Partnerships)
• Lead the development of new discovery features and content formats that drive core guest and bookings growth.
• Incorporate the latest AI technologies and relevance models to uplevel Airbnb’s browsing experience
• Collaborate with marketing teams to extend Airbnb’s discovery strategy to our lifecycle and growth marketing campaigns.
• Craft the product narrative and marketing strategies that communicate the benefits and features of these products both internally and externally.
• Develop product roadmaps and build alignment across product teams (Tech, Design), cross-functional partners (FP&A, Marketing, Global Operations, Customer Experience, Trust, etc.) and Leadership/Executive team.
• Inspire teams, leadership, and the company to support the success of your products and business outcomes.
• Build deep expertise on the subject matter both through user research, marketplace data, and an understanding of the competitive landscape.
• Define goals and success with clearly measurable objectives and key results.
• Efficiently execute to ship products and deliver impact for our business and users.

Product Manager, Guest Discovery – Homepage

Analyst

• Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions.
• Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices, building new data tools and data sets, expanding data education around the company and mentoring and developing other team members.
• Drive day to day analytics and create scalable data tools:
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design, define, and implement metrics and dimensions to enable analysis
• Continue to enhance our understanding and measurement of the tools used by our partners, with a focus on driving higher host activation within partner buildings.
• Work closely with Data Engineers, Analytics Engineers, Data Scientists and other cross functional teams to build a scalable and unified attribution and measurement platform for understanding impact of product, sales and marketing efforts.
• Collaborate closely with Business Leads to design, implement, and assess offline experiments, including A/B tests and other quasi-experimental techniques.
• Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Data Engineering to build data tools for mass consumptions within the A4RE team

Senior Analyst, Advanced Analytics

Frontend Engineer

• Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved-path tooling and frameworks.
• Work closely with Android and iOS engineers on the team to develop foundational, cross-platform solutions.
• Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.

Staff Frontend Engineer, Client Data & Networking Platform

• Work with large scale structured and unstructured data, build and continuously improve novel ML systems, product integrations, and performance optimizations for Airbnb product, business and operational use cases.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
• Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
• Hands-on productionize, and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.
• Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization

Senior Software Engineer, AI/ML, Trust

Communications

• Oversees the international celebrity division, working closely with DRIs across US and Canada, EMEA, APAC, LATAM, and China to ensure regional celebrity activity is globally aligned, locally relevant and connected to broader company priorities.
• Bridges global and regional celebrity & entertainment teams by cascading priorities, surfacing opportunities, and removing blockers.
• Proactively identifies efficiencies, develops solutions, and improves processes across the international team as priorities and timelines evolve
• Serves as the global celebrity expert for regional teams, providing negotiation guidance, sharing best practices, and lending direct support to regional DRIs where needed
• Partners with global leads within the Celebrity & Entertainment team to implement and advocate for international priorities across all celebrity programs
• Brings regional opportunities to the Global Celebrity & Entertainment team for visibility and alignment, connecting the right global stakeholders based on the initiative
• Provides regular pipeline updates to Head of Celebrity and Entertainment, ensuring visibility and alignment on international celebrity activity, budget, and metric tracking
• Collaborates with Channel Communications leads — including social, influencer, and creative — to ensure regional celebrity programs are integrated with global priorities and KPIs

Communications Lead, Global Celebrity and Entertainment

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, agent orchestration, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, safety, and user satisfaction
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with emerging AI technologies and evaluate their applicability to employee experience products
• Balance hands-on technical contributions with technical leadership activities

Senior Software Engineer, BizTech

Recruitment

• Manage and drive a full-cycle recruitment process including sourcing, screening, interview, feedback and offers for all levels of candidates from entry to senior level.
• Conduct market research and mapping to identify top talent that aligns with Airbnb's current and future needs.
• Develop and implement engagement strategies to build relationships with potential candidates
• Build pipeline for multiple requisitions across foundation teams and geographies, considering the importance of diversity and inclusion at top of the funnel.
• Build and nurture talent communities for future requisitions across foundation teams and geographies, ensuring a focus on diversity and inclusion.
• Influence business leaders and educate hiring managers on process, interview best practices, and decision making.
• Maintain data integrity, proactively sharing data-centric updates with internal stakeholders to improve recruiting efficiency and influence hiring decisions.
• Cultivate and maintain meaningful relationships with the broader recruiting team and cross-functional internal teams such as Talent, Diversity & Belonging, Compensation, and Legal.
• Champion an exceptional end-to-end candidate experience, ensuring timely and impactful communication throughout the hiring journey.
• Communicate effectively with business partners and hiring managers, establishing clear timelines, milestones, and expected outcomes.

Recruiter

AI Engineer

• Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams) to design and build end-to-end AI powered product solutions to improve Airbnb’s customer service experience.
• Use AI tooling to analyze data, build hypotheses, experiment, learn and iterate to improve the Integrated Knowledge Management services.
• Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.
• Advocate and participate in efforts to advance Airbnb’s engineering processes, technical foundations, and AI tooling.

AI Engineer, Community Support Engineering

Machine Learning Engineer

• Fine-tune state-of-the-art LLMs for diverse use cases while optimizing models.
• Partner with product managers, software engineers, data scientists and operation teams.
• Brainstorm, design and develop AI products like AI Assistant and Autonomous agent.
• Work with large scale structured and unstructured data to continuously improve foundation models.
• Create a multi-year tech roadmap for the team.
• Continuously evaluate foundational models for enhanced performance and efficiency.
• Hands-on prototype, develop and productionize LLM models and pipelines.
• Drive AI architectural decisions and contribute to ML platform architecture.